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Sampling event dataset on five-year observations of macrofungi fruit bodies in raised bogs, Western Siberia, Russia
Abstract. BACKGROUND: The data paper includes the results of a long-term monitoring programme for macrofungi fruiting using permanent plots located in the raised bog ecosystem in central part of Western Siberia (nearby Khanty-Mansiysk), Russia. The goal of the project was to describe the quantitativ...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Pensoft Publishers
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6684528/ https://www.ncbi.nlm.nih.gov/pubmed/31402841 http://dx.doi.org/10.3897/BDJ.7.e35674 |
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author | Filippova, Nina Lapshina, Elena |
author_facet | Filippova, Nina Lapshina, Elena |
author_sort | Filippova, Nina |
collection | PubMed |
description | Abstract. BACKGROUND: The data paper includes the results of a long-term monitoring programme for macrofungi fruiting using permanent plots located in the raised bog ecosystem in central part of Western Siberia (nearby Khanty-Mansiysk), Russia. The goal of the project was to describe the quantitative and qualitative structure and spatial variation of the community of macromycetes, to follow its dynamics seasonally and inter-annually and also elucidate the relationship between the fruiting and climate variables. A total of 263 circular 5 m(2) subplots (for a total area of 1,315 m(2)) were inspected weekly during vegetation seasons 2014-2018 and carpophores of different fungal taxa were counted. The resulting sampling-event dataset includes 16,569 of plot-based observations (= sampling events) with corresponding 6,011 occurrence records of macromycetes identified to species or genus level. In total, 69 species were revealed during the study. About 80% of plot-based observations contain zero records and mark absence of visible fruiting bodies in a certain plot and time. NEW INFORMATION: This is the first sampling-event dataset on plot-based observations of macrofungi published in GBIF and the first long-term series of macrofungi monitoring in a raised bog ecosystem accomplished in Western Siberia. The aim of the data paper publication was to provide the description and the link to the published data in the format of a peer-reviewed journal paper and to provide recognition for the effort by means of a scholarly article (based on Data paper definition published at https://www.gbif.org/en/data-papers). |
format | Online Article Text |
id | pubmed-6684528 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Pensoft Publishers |
record_format | MEDLINE/PubMed |
spelling | pubmed-66845282019-08-09 Sampling event dataset on five-year observations of macrofungi fruit bodies in raised bogs, Western Siberia, Russia Filippova, Nina Lapshina, Elena Biodivers Data J Data Paper (Biosciences) Abstract. BACKGROUND: The data paper includes the results of a long-term monitoring programme for macrofungi fruiting using permanent plots located in the raised bog ecosystem in central part of Western Siberia (nearby Khanty-Mansiysk), Russia. The goal of the project was to describe the quantitative and qualitative structure and spatial variation of the community of macromycetes, to follow its dynamics seasonally and inter-annually and also elucidate the relationship between the fruiting and climate variables. A total of 263 circular 5 m(2) subplots (for a total area of 1,315 m(2)) were inspected weekly during vegetation seasons 2014-2018 and carpophores of different fungal taxa were counted. The resulting sampling-event dataset includes 16,569 of plot-based observations (= sampling events) with corresponding 6,011 occurrence records of macromycetes identified to species or genus level. In total, 69 species were revealed during the study. About 80% of plot-based observations contain zero records and mark absence of visible fruiting bodies in a certain plot and time. NEW INFORMATION: This is the first sampling-event dataset on plot-based observations of macrofungi published in GBIF and the first long-term series of macrofungi monitoring in a raised bog ecosystem accomplished in Western Siberia. The aim of the data paper publication was to provide the description and the link to the published data in the format of a peer-reviewed journal paper and to provide recognition for the effort by means of a scholarly article (based on Data paper definition published at https://www.gbif.org/en/data-papers). Pensoft Publishers 2019-07-30 /pmc/articles/PMC6684528/ /pubmed/31402841 http://dx.doi.org/10.3897/BDJ.7.e35674 Text en Nina Filippova, Elena Lapshina http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Data Paper (Biosciences) Filippova, Nina Lapshina, Elena Sampling event dataset on five-year observations of macrofungi fruit bodies in raised bogs, Western Siberia, Russia |
title | Sampling event dataset on five-year observations of macrofungi fruit bodies in raised bogs, Western Siberia, Russia |
title_full | Sampling event dataset on five-year observations of macrofungi fruit bodies in raised bogs, Western Siberia, Russia |
title_fullStr | Sampling event dataset on five-year observations of macrofungi fruit bodies in raised bogs, Western Siberia, Russia |
title_full_unstemmed | Sampling event dataset on five-year observations of macrofungi fruit bodies in raised bogs, Western Siberia, Russia |
title_short | Sampling event dataset on five-year observations of macrofungi fruit bodies in raised bogs, Western Siberia, Russia |
title_sort | sampling event dataset on five-year observations of macrofungi fruit bodies in raised bogs, western siberia, russia |
topic | Data Paper (Biosciences) |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6684528/ https://www.ncbi.nlm.nih.gov/pubmed/31402841 http://dx.doi.org/10.3897/BDJ.7.e35674 |
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